Who Wants a Fat Child?: Care for Obese Children in Weight Obsessed Societies
Bibliographic record
Abstract
The treatment of obese people in our society, especially fat children gives rise to much indignation ("Fat", "fatness" - rather than "obese, obesity" - are preferred terms among groups and individuals protesting societal and traditional public health treatment of large persons.) Not all obese individuals are poor; but being excessively overweight tends to be inversely related to socio economic status among women and their children in post industrial societies. Poor children who are fat often have the hardest experiences because they are large, are in poverty, and are dependent on parents and others for their welfare. Fat people are not protected from discrimination in most jurisdictions. Human rights laws should be amended to shield obese individuals from prejudicial actions. In addition, activism, public health models, and various legal interventions, to be discussed, need to focus on people, especially children, eating/drinking nutritiously and being physically active - with their weight being a secondary consideration. These issues are illustrated by discussing programs in the United States designed to assist poor families to eat and drink more nutritiously. El tratamiento de las personas obesas en nuestra sociedad, especialmente en el caso de los niños, da lugar a mucha indignación (se usan términos como "gordo", "gordura", en lugar de "obeso, obesidad", entre los grupos e individuos que protestan por el tratamiento social y la sanidad púbica tradicional para tratar a las personas grandes). No todas las personas obesas son pobres; pero en las sociedades postindustriales, entre mujeres y sus hijos tener un sobrepeso excesivo tiende a estar inversamente relacionado con la posición socioeconómico. Los niños pobres que están gordos sufren, a menudo, las experiencias más duras, porque son grandes, están en situación de pobreza, y su bienestar depende de sus padres y otras personas. En la mayoría de jurisdicciones, las personas gordas no están protegidas contra la discriminación. Las leyes de derechos humanos deberían modificarse para proteger a las personas obesas frente a acciones lesivas. Además, se analizarán el activismo, los modelos de salud pública, y diversas intervenciones legales. Todos ellos necesitan centrarse en las personas, especialmente los niños, que comen y beben de forma equilibrada, y que realizan actividad física, siendo el peso una consideración secundaria. Estos temas se ilustran mediante el análisis de programas estadounidenses destinados a ayudar a que familias pobres coman y beban de forma más nutritiva. DOWNLOAD THIS PAPER FROM SSRN: http://ssrn.com/abstract=2559676
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".